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for environmental pollution sciences. It focuses on robustness to distribution shifts, degraded inputs, and out-of-distribution conditions, while also addressing uncertainty quantification, explainability, fairness
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data and archaeological signatures (e.g., circular mounds, linear ditches, rectangular foundations, etc.) tailored for AI applications – Feature engineering and representation learning to enhance
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, Physics, Electrical Engineering, Communication Engineering, or equivalents; – Knowledge in artificial intelligence, statistical and machine learning, complex systems, agent-based modeling and simulation
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techniques, with a specific focus on symbolic model checking methods using satisfiability and satisfiability modulo theories solvers as symbolic reasoning engines. Importantly, in addition to researching novel
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social dynamics, the research aims to advance the state of language generation for conversational agents across multiple domains and languages. Where to apply Website https://phd.fbk.eu/calls/detail
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develop evaluation frameworks that capture not only overall system performance, but also real-world utility, fairness, and responsiveness to the needs of diverse stakeholders. Where to apply Website https
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spreading hate-based misinformation. Ultimately, this work seeks to advance generative AI that can mitigate harmful discourse and clarify its underlying mechanisms. Where to apply Website https://phd.fbk.eu
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reasoning. Where to apply Website https://phd.fbk.eu/calls/detail/phd-position-on-reasoning-in-multimodal-models/ Requirements Research FieldOtherEducation LevelMaster Degree or equivalent Additional
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of practical guidance and dissemination outputs aimed at fostering responsible, transparent, and sustainable AI adoption. Where to apply Website https://phd.fbk.eu/calls/detail/governing-ai-in-practice
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firmware design. Contact: Massimo Gottardi (FBK), Giampietro Tecchiolli (AI4IV) Where to apply Website https://phd.fbk.eu/calls/detail/mixed-analog-digital-cmos-architectures-for-ai-… Requirements Research